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Hierarchical Bayesian Optimization Algorithm by Pelikan Martin (27 results)
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hardcover. Condition: Good. Ex-library book with typical stickers and stampings. Priority Mail is available on this item. No international shipping.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: Used. pp. 188.
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Condition: Used. pp. 188 Illus.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Condition: Used. pp. 188.
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Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing, 170)
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Hierarchical Bayesian Optimization Algorithm : Toward A New Generation Of Evolutionary Algorithms
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Condition: New. pp. 186.
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Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms
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Hierarchical Bayesian Optimization Algorithm : Toward A New Generation Of Evolutionary Algorithms
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Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing, 170)
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Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms
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Hierarchical Bayesian Optimization Algorithm
Language: English
Published by Springer Berlin Heidelberg, 2005
ISBN 10: 3540237747 ISBN 13: 9783540237747
Gebunden. Condition: New. Presents a new generation of evolutionary algorithms, which are revolutionary approaches to black-box optimizationThis book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms .
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Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642062733 ISBN 13: 9783642062735
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization.
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Taschenbuch. Condition: Neu. Hierarchical Bayesian Optimization Algorithm | Toward a New Generation of Evolutionary Algorithms | Martin Pelikan | Taschenbuch | Studies in Fuzziness and Soft Computing | xviii | Englisch | 2010 | Springer | EAN 9783642062735 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms
Language: English
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2005
ISBN 10: 3540237747 ISBN 13: 9783540237747
Buch. Condition: Neu. Neuware - This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization.
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Condition: new. Questo è un articolo print on demand.
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Hierarchical Bayesian Optimization Algorithm
Language: English
Published by Springer Berlin Heidelberg Okt 2010, 2010
ISBN 10: 3642062733 ISBN 13: 9783642062735
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization. 184 pp. Englisch.
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Condition: New. Print on Demand pp. 186 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Condition: New. PRINT ON DEMAND pp. 186.
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Hierarchical Bayesian Optimization Algorithm
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642062733 ISBN 13: 9783642062735
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a new generation of evolutionary algorithms, which are revolutionary approaches to black-box optimizationThis book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms .
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Hierarchical Bayesian Optimization Algorithm
Language: English
Published by Springer, Springer Okt 2010, 2010
ISBN 10: 3642062733 ISBN 13: 9783642062735
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 184 pp. Englisch.
